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نتیجه جستجو - ادغام دانش

تعداد مقالات یافته شده: 11
ردیف عنوان نوع
1 Cultural consensus knowledge of rice farmers for climate risk management in the Philippines
دانش اجماع فرهنگی کشاورزان برنج برای مدیریت ریسک آب و هوایی در فیلیپین-2021
Despite efforts and investments to integrate weather and climate knowledges, often dichotomized into the scientific and the local, a top-down practice of science communication that tends to ignore cultural consensus knowledge still prevails. This paper presents an empirical application of cultural consensus analysis for climate risk management. It uses mixed methods such as focus groups, freelisting, pilesorting, and rapid ethnographic assessment to understand farmers’ knowledge of weather and climate conditions in Barangay Biga, Oriental Mindoro, Philippines. Multi-dimensional scaling and aggregate proximity matrix of items are generated to assess the similarity among the different locally perceived weather and climate conditions. Farmers’ knowledge is then qualitatively compared with the technical classification from the government’s weather bureau. There is cultural agreement among farmers that the weather and climate con- ditions can be generally grouped into wet, dry, and unpredictable weather (Maria Loka). Damaging hazards belong into two subgroups on the opposite ends of the wet and dry scale, that is, tropical cyclone is grouped together with La Ni˜na, rainy season, and flooding season, while farmers perceive no significant difference between El Ni˜no, drought, and dry spells. Ethnographic information reveals that compared to the technocrats’ reductive knowledge, farmers imagine weather and climate conditions (panahon) as an event or a phenomenon they are actively experiencing by observing bioindicators, making sense of the interactions between the sky and the landscape, and the agroecology of pest and diseases, while being subjected to agricultural regulations on irrigation, price volatility, and control of power on subsidies and technologies. This situated local knowledge is also being informed by forecasts and advisories from the weather bureau illustrating a hybrid of technical science, both from the technocrats and the farmers, and personal experiences amidst agricultural precarities. Speaking about the hybridity of knowledge rather than localizing the scientific obliges technocrats and scientists to productively engage with different ways of knowing and the tensions that mediate farmers’ knowledge as a societal experience.
keywords: دانش اجماع | پیش بینی آب و هوا | کشاورزی | خطر ابتلا به آب و هوا | Consensus knowledge | Weather forecasting | Agriculture | Climate risk
مقاله انگلیسی
2 X-PHM: Prognostics and health management knowledge-based framework for SME
X-PHM: پیش آگهی و چارچوب دانش مبتنی بر مدیریت سلامت برای SME-2021
Prognostics and Health Management (PHM) is an emerging concept based on industrial data management. The implementation of PHM in small and medium-sized enterprises (SMEs) is currently limited due to data accessibility difficulties. In order to overcome this pitfall, one could formalize the operators’ knowledge and integrate it in the SME’s information system. Thus, the implementation of the PHM will be based on this information system associating data with knowledge. To this end, we propose a collaborative PHM approach (X-PHM) to ensure the extraction of operators’ knowledge and its integration into the PHM process. The decision resulting from this approach is restituted with a concern of explainability. This paper details the proposed approach while focusing on the data management process and its integration in explainable decisions. This new framework is applied in a French SME to understand its production process and facilitate its digital transformation.
Keywords: PHM | Knowledge formalization and integration | Explainable artificial intelligence | SME | Data analysis.
مقاله انگلیسی
3 Application of multivariate statistics and 3D visualization analysis in tacit knowledge diffusion map
کاربرد آمار چند متغیره و تحلیل تجسم سه بعدی در نقشه انتشار دانش ضمنی-2021
Tacit knowledge is an important factor for enterprises and institutions to enhance their knowledge innovation and value-added capabilities, and it is also a basic link to enhance organizational learning capabilities. With the development of technology, the dissemination of tacit knowledge has increasingly shown complex and dynamic trends. In order to make the tacit knowledge in the enterprise better circulate and generate greater economic value, therefore, this paper proposes a study on the diffusion map of tacit knowledge based on multivariate statistics and 3D visualization analysis. First of all, this paper analyzes the internal relationship between orga- nizational learning and organizational tacit knowledge integration and organizational tacit knowledge innova- tion, and combines multiple statistical methods to propose an organizational tacit knowledge integration method based on tacit knowledge management. Secondly, we combine 3D visualization and generative confrontation network methods to analyze the data of tacit knowledge dissemination, and visualize the distribution of knowledge dissemination in three dimensions. In the simulation experiment test, this paper reveals that the spreading efficiency of tacit knowledge in the network is affected by related factors. Through this model, we hope to explore the behavioral laws of different types of nodes in the network and propose effective countermeasures to improve the efficiency of knowledge dissemination.
keywords: Tacit knowledge | Diffusion map | 3D visualization | Multivariate statistics | Generative confrontation network
مقاله انگلیسی
4 Integrating indigenous and local knowledge in management and research on coastal ecosystems in the Global South: A literature review
ادغام دانش بومی و محلی در مدیریت و تحقیقات در مورد اکوسیستم های ساحلی در جنوب جهان: بررسی ادبیات-2021
Indigenous and local knowledge (ILK) is increasingly recognized as a valuable asset in sustainability science. Knowledges of Indigenous peoples and local communities is becoming a critical tool for understanding coastal social-ecological systems and coping with global changes. The inclusion of ILK in research and management is key to local desirable social-ecological resilience and community-based conservation approaches, especially in areas with accelerated landscape changes. The Global South in particular is experiencing rapid changes through development and climate change, while harbouring many biodiversity hotspots. To synthesize the existing in- formation and highlight still existing research gaps we conducted a systematic literature review on ILK from coastal ecosystems in the Global South (n = 254). Our results show to which biophysical aspects and ecosystems the knowledge is related, as well as the challenges and benefits that accompany the inclusion of ILK for man- agement and research. Main challenges named were based on external forces, such as globalisation and market pressure but also a lack of integration and respect in governance and management for ILK and the difficulty of integrating ILK in today’s academic work. Many researchers showed ways to overcome such multi-scale chal- lenges and highlighted the importance of this process due to the various benefits of ILK for management and research. All articles reviewed named benefits in ecological (e.g. complementary knowledge production), po- litical (e.g. support of community-based governance) or socio-cultural (e.g. maintenance of culture and liveli- hoods) aspects for management and research. Maintaining ILK is crucial for Indigenous people and local communities and carries insights to govern coastal ecosystems during the challenging times ahead. We conclude that future research is needed to further develop the current position of ILK in research and management of ecosystems, especially as global environmental changes may contribute to the acceleration of losing ILK from coastal ecosystems in the Global South.
keywords: تغییرات اقلیمی | مردم بومی و جوامع محلی | اکوسیستم های دریایی | سیستم های اجتماعی محیطی | علم پایداری | Climate change | Indigenous peoples and local communities | Marine ecosystems | Social-ecological systems | Sustainability science
مقاله انگلیسی
5 Integrating domain knowledge with deep learning models: An interpretable AI system for automatic work progress identification of NATM tunnels
ادغام دانش دامنه با مدل های یادگیری عمیق: یک سیستم هوش مصنوعی قابل تفسیر برای شناسایی پیشرفت کار خودکار تونل های NATM-2020
Finding a reliable and cost-effective approach to monitor the activities of the New Austrian Tunneling Method (NATM) tunnel construction automatically is a challenging yet important task. This study presents an interpretable artificial intelligence (AI) framework that automatically identifies NATM construction works using lowcost site surveillance images. The framework adopts the Bayesian statistics to combine the prior NATM construction knowledge with the visual evidence extracted by deep learning (DL) based computer vision models. The analysis results of Site CCTV surveillance videos of four NATM tunneling projects are presented to demonstrate its ability (i) to label NATM work cycles from the work timeline, (ii) to identify NATM work categories inside each work cycle, and (iii) to estimate the degree of plan-work deviation at the construction cycle level. The proposed framework yields promising results on a real NATM tunneling project.
Keywords: Artificial intelligence | NATM project monitoring | Deep learning | Computer vision
مقاله انگلیسی
6 Argumentation based reinforcement learning for meta-knowledge extraction
یادگیری تقویتی مبتنی بر استدلال برای استخراج فرا دانش-2020
Knowledge integration in distributed data mining has received widespread attention that aims to integrate inconsistent information locating on distributed sites. Traditional inte- gration methods become ineffective since they are unable to generate global knowledge, support advanced integration strategy, or make prediction without individual classifiers. In this paper, we propose an argumentation based reinforcement learning method to han- dle this problem. Inspired by meta-learning, we integrate distributed knowledge and ex- tract meta-knowledge that is agreed-upon knowledge consistent to all the agents. Specif- ically, two learning stages are introduced: argumentation based learning stage integrates and extracts meta-knowledge, and reinforcement learning stage evaluates and refines meta- knowledge. The two learning stages run alternately to extract global meta-knowledge base, which can be used to make prediction directly. The results from extensive experiments demonstrate that our method can extract refined meta-knowledge with a much satisfied performance.
Keywords: Argumentation | Reinforcement learning | Knowledge integration | Distributed data mining
مقاله انگلیسی
7 تنظیم کاربرد رسانه های اجتماعی و همکاری بازاریابی تحقیق و توسعه برای موفقیت نوآوری چقدر اهمیت دارد؟
سال انتشار: 2020 - تعداد صفحات فایل pdf انگلیسی: 12 - تعداد صفحات فایل doc فارسی: 27
تلاش هایی برای استفاده از رسانه های اجتماعی به عنوان ابزار شبکه جهت نوآوری های باز طبق انتظارت نبوده و به طور کافی از پتانسیل خود استفاده نکرده اند. تحقیقات اخیر درباره تعیین مهارت رسانه اجتماعی شرکت ها به مکانیسم های اساسی پیچیده و درجه بندی قابلیت های رسانه اجتماعی نپرداخته اند. بررسی می کنیم که چگونه و چرا و کدام منابع را سازمان باید ادغام کند. رسانه های اجتماعی در زمینه توسعه محصول جدید باید توام با همکاری بازاریابی تنظیم با تحقیق و توسعه باشد.این تنظیم منجر به ادغام دانش کارآمد می گردد اما این عدم تنظیم نمی تواند منجر به ایده های عالی گردد یا فاقد ظرفیت پردازش اطلاعات است. فرضیه های تنظیم و عدم تنظیم با استفاده از داده های نظرسنجی از نمونه 101 شرکت های کوچک و متوسط ابتکارآمیز آزموده شدند. یافته های مطالعه 1 را گسترش دادیم تا قابلیت های مورد نیاز رسانه اجتماعی را در سطح خرد تعیین کنیم. نتایج نشان می دهد رسانه اجتماعی را می توان برای نوآوری اساسی و فزاینده به کار برد اما برای نوآوری خدمات نسبت به محصول مفیدتر اند.
واژگان کلیدی: راهبرد رسانه های اجتماعی | نوآوری محصول | نظریه احتمال | نظریه پردازش اطلاعات | مشارکت بازاریابی-تحقیق و توسعه | رگرسیون چند جمله ای | تحلیل تطبیقی کیفی مجموعه فازی
مقاله ترجمه شده
8 Integrating scientific and local knowledge to address conservation conflicts: Towards a practical framework based on lessons learned from a Scottish case study
ادغام دانش علمی و محلی برای مقابله با منازعات حفاظت: به یک چارچوب عملی مبتنی بر درسهای آموخته شده از یک مطالعه موردی اسکاتلند-2020
Integrating local knowledge with scientific knowledge can offer significant benefits to improving environmental decision-making. However, this is especially challenging in environmental conflict situations where advice is lacking, and no single approach can foster conflict transformation. To understand stakeholder knowledge and its integration in a conflict transformation process in Scotland, we brought together diverse stakeholder organisations and encouraged power sharing in the project’s management. Our mixed-methods approach was based on theories of community science, knowledge co-production, knowledge integration and implementation and conflict transformation. We gathered stakeholder perceptions to see where local and scientific knowledge converged and diverged. Stakeholders holding opposing views mutually prioritised knowledge gaps and identified future collaborative actions. Building upon lessons learned, we present a practical framework and associated considerations to realise knowledge integration goals in conservation conflict situations. This framework is widely applicable, especially in situations where disputes over the evidence-base prevent positive outcomes for people and nature.
Keywords: Community science | Conflict transformation | Knowledge integration | Public benefit | Transparency | Trus
مقاله انگلیسی
9 The Relationship Between Knowledge Management and Innovation Performance
رابطه بین مدیریت دانش و عملکرد نوآوری-2018
This study examines the quantitative relationship between knowledge management, innovation, and performance. We aim to shed some light on the consequences of Knowledge Management (KM) activities on firms innovation and performance. Organizations are unaware of real im plications of KM. According to the literature review, we develop a research model showing a positive relationship between knowledge management, and performance as well as its impact on innovation, which in turn contributes to the firms performance. Using data from 120 firms that are members of the Iranian Power Syndicate, this model was tested empirically. Based on the Structural Equation Model (SEM) results by Partial Least Square (PLS) method, research hy potheses were supported. Results show that KM activities impact innovation and organizational performance directly, and indirectly through an increase in innovation capability. It is found that knowledge creation, knowledge integration, and knowledge application facilitate innovation and performance. Knowledge creation has more significant effects on innovation speed, innovation quality, and innovation quantity, whereas innovation quality, knowledge creation, and knowl edge integration has more significant effects on performance. Findings presented in this paper may help academics and managers in designing KM programs to achieve higher innovation, effectiveness, efficiency, and profitability.
Keywords: Knowledge Management ، Knowledge Creation ، Knowledge Integration ، Innovation Performance
مقاله انگلیسی
10 ظرفیت جذب کننده و برون سپاری R&D
سال انتشار: 2017 - تعداد صفحات فایل pdf انگلیسی: 14 - تعداد صفحات فایل doc فارسی: 36
من عوامل موثر بر برون سپاری تحقیق و توسعه (R & D) ، یا سرمایه گذاری در تحقیق و توسعه را از ارائه دهندگان خارجی تجزیه و تحلیل کردم و اساس کارم را برپایه ی دیدگاه مبتنی بر دانش از شرکت (KBV) و مفهوم ظرفیت جذب به منظور پیشنهاد جدایی بین مکانیسم هایی که ظرفیت بالقوه ای در جذب داشتند و شرکت را قادر به شناسایی و ادغام دانش برون سپاری R&D از مکانیسم ها و استفاده و تبدیل برون سپاری دانش R&D به نوآوری میکرد , قرار دادم. اول، پیشنهاد میکنم که شرکت هایی که با مشتریان خارجی و با تامین کنندگان خارجی در تماس هستند، ظرفیت جذب , توانایی درک دانش خارجی جدید و پیچیده که برای یکپارچه سازی آن با دانش داخلی شرکت ها مفید است , بهبود ببخشند، و در نتیجه سرمایه گذاری بیشتری را در بخش برون سپاری R&D انجام دهند . دوم، من اینگونه استدلال میکنم که شرکت هایی که کارکنان ماهر بیشتری دارند وبیشتر بر R&D داخلی سرمایه گذاری میکنند و ظرفیت جذب بالاتری دارند و توانایی آنها برای استفاده و انتقال دانش خارجی بیشتر است , بیشتر در برون سپاری R&D سرمایه گذاری کنند . در نهایت، باید گفت که این روابط زمانی تضعیف میشوند که اینگونه از شرکت ها تابعه شرکت های چند ملیتی خارجی در کشور باشند، چرا که این شرکت ها می توانند ظرفیت جذب خود را با ادغام با دیگر شرکت های تابعه درکشور و ستاد چند ملیتی بهبود بخشند . من این استدلال ها را در یک نمونه از شرکت های تولیدی بررسی کردم و دریافتم که شرکت های وارد و صادر کننده , کارکنان خبره ای دارند و در نتیجه سرمایه گذاری Rand D داخلی بیشتری نیز دارند که شدیدا متمایل به سرمایه گذاری بیشتر در برون سپاری R&D میباشد.همچنین دریافتم که برای شرکت های تابعه شرکت های خارجی، تاثیر کارکنان ماهر و R & D داخلی در برون سپاری R&D کمتر از شرکت های داخلی است. این ایده ها توضیح نظریه محوری را از عوامل تعیین کننده ی برون سپاری R & D ارایه میکنند مفهوم ظرفیت جذب و دو بعد آن را اصلاح میکنند و بهبود میبخشند . کليدواژگان: برون سپاري R & D | صادرات | واردات | مهارت ها | تحقیق و توسعه داخلی
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